Boston Beer (SAM) Operating Expenses (2010 - 2026)
Boston Beer (SAM) recorded Operating Expenses of $215.6 million in Q2 2026, up 2.4% from $210.45 million a year earlier but down 46.7% from the prior quarter.
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Analysis
Boston Beer (SAM) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Boston Beer's Operating Expenses came in at $1.03 billion as of Jun 27, 2026, up 21.8% year-over-year; for FY2025, it was $807.7 million, down 1.2% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 7.2% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $817.76 million in FY2024 (+8.7%), $752.37 million in FY2023 (-2.4%), $771.2 million in FY2022 (-2.4%) and $789.8 million in FY2021 (+38.5%).
- Quarterly Operating Expenses has ranged from $169.61 million in Q1 2023 to $404.42 million in Q1 2026 over the past five years.
- On a year-over-year basis, Operating Expenses rose in six of the last eight quarters, with growth averaging 19.2%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 118.0% in Q1 2026, against a decline of 11.7% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $404.42 million (Q1 2026), $200.7 million (Q4 2025) and $211.07 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 401.84 Bn | 388.31 Bn | 8.42 Bn | 3.72 Bn |
| 2 | Coca Cola Femsa Sab De Cv | 198.29 Bn | 198.29 Bn | 2.06 Bn | 1.49 Bn |
| 3 | Pepsico | 182.79 Bn | 140.55 Bn | 13.75 Bn | 9.49 Bn |
| 4 | Monster Beverage | 92.06 Bn | 80.31 Bn | 1.42 Bn | 679.19 Mn |
| 5 | Diageo | 51.95 Bn | 32.02 Bn | - | - |
| 6 | Ambev | 51.85 Bn | 37.14 Bn | 2.06 Bn | -263.15 Mn |
| 7 | Coca-Cola Europacific Partners | 51.70 Bn | 44.37 Bn | - | -1.63 Bn |
| 8 | Keurig Dr Pepper | 47.08 Bn | 43.13 Bn | 3.07 Bn | 2.40 Bn |
| 9 | Constellation Brands | 22.57 Bn | 22.12 Bn | 1.39 Bn | 538.20 Mn |
| 10 | Boston Beer | 1.92 Bn | 1.02 Bn | 286.37 Mn | 215.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 215.60 Mn |
| Mar 28, 2026 | 404.42 Mn |
| Dec 27, 2025 | 200.70 Mn |
| Sep 27, 2025 | 211.07 Mn |
| Jun 28, 2025 | 210.45 Mn |
| Mar 29, 2025 | 185.49 Mn |
| Dec 28, 2024 | 216.71 Mn |
| Sep 28, 2024 | 234.41 Mn |
| Jun 29, 2024 | 195.64 Mn |
| Mar 30, 2024 | 170.99 Mn |
| Dec 30, 2023 | 173.82 Mn |
| Sep 30, 2023 | 213.15 Mn |
| Jul 1, 2023 | 195.79 Mn |
| Apr 1, 2023 | 169.61 Mn |
| Dec 31, 2022 | 182.32 Mn |
| Sep 24, 2022 | 219.38 Mn |
| Jun 25, 2022 | 194.39 Mn |
| Mar 26, 2022 | 175.11 Mn |
| Dec 25, 2021 | 172.71 Mn |
| Sep 25, 2021 | 248.47 Mn |
API Access
Boston Beer Operating Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=operating-expenses&ticker=SAM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "SAM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=SAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();